Computational Intelligence & Machine Learning Group
    Department of Computer Science - University of Pisa




Access the OnLine Bibliographic DataBase    --[ members only ]--

Publications (selected)

M. Podda, D. Bacciu, A. Micheli, R. Bellu', G. Placidi, L. Gagliardi.
A machine learning approach to estimating preterm infants survival: development of the Preterm Infants Survival Assessment (PISA) predictor .
Scientific Reports - Nature (2018) vol. 8:13743. DOI:10.1038/s41598-018-31920-6

C. Gallicchio, A. Micheli, L. Pedrelli. "Design of deep echo state networks" .
Neural Networks (2018), Volume 108, December 2018, Pages 33-47, DOI: 10.1016/j.neunet.2018.08.002

D. Bacciu, F. Errica, A. Micheli. "Contextual Graph Markov Model: A Deep and Generative Approach to Graph Processing" .
ICML 2018: Proceedings of the 35th International Conference on Machine Learning.
Vol. 80. pp. 294-303

C. Gallicchio, A. Micheli. "Deep Tree Echo State Networks" .
IJCNN 2018: Proceedings of the IEEE 2018 International Joint Conference on Neural Networks.
Selected for the best papers section (over 764 papers).

C. Gallicchio, A. Micheli, L. Silvestri. "Local Lyapunov Exponents of Deep Echo State Networks" .
Neurocomputing (2018), DOI: 10.1016/j.neucom.2017.11.073

C. Gallicchio, A. Micheli. "Deep Echo State Network (DeepESN): A Brief Survey" ., 2017/2018.

D. Bacciu, A. Micheli, A. Sperduti. Generative Kernels for Tree-Structured Data. .
IEEE Transactions on Neural Networks and Learning Systems, 2018 Accepted. ISSN: 2162-237X. DOI: 10.1109/TNNLS.2017.2785292

C. Gallicchio, A. Micheli, "Echo State Property of Deep Reservoir Computing Networks".
Cognitive Computation, Springer, vol. 9(3), pp. 337-350 (2017), Special issue on "Advances in Biologically Inspired Reservoir Computing", DOI: 10.1007/s12559-017-9461-9, ISSN: 1866-9964

C. Gallicchio, A. Micheli, L. Pedrelli, "Deep Reservoir Computing: A Critical Experimental Analysis",
Neurocomputing. Vol. 268, pp. 87-99, Elsevier, 2017 DOI: 10.1016/j.neucom.2016.12.089, ISSN: 0925-2312

C. Gallicchio, J. D. Martin-Guerrero, A. Micheli, E. Soria-Olivas, "Randomized Machine Learning Approaches: Recent Developments and Challenges", Proceedings of the 25th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2017), Bruges, Belgium, 26-28 April 2017,, pp. 77-86, ISBN: 978-287587038-4

C. Gallicchio, A. Micheli. "Deep Reservoir Computing: A Critical Analysis", Proceedings of the 24th European Symposium on Artificial Neural Networks (ESANN), Bruges, Belgium, 27-29 April 2016,, pp. 497-502, ISBN: 978-287587026-1

D. Bacciu, C. Gallicchio, A. Micheli. "A Reservoir Activation Kernel for Trees", Proceedings of the 24th European Symposium on Artificial Neural Networks (ESANN), Bruges, Belgium, 27-29 April 2016,, pp. 29-34, ISBN: 978-287587026-1

R. Barbuti, S. Chessa, A. Micheli, R. Pucci. "Localizing Tortoise Nests by Neural Networks".
PLoS ONE 11(3): e0151168. doi:10.1371/journal.pone.0151168, 2016.

F. Palumbo, C. Gallicchio, R. Pucci, A. Micheli. "Human Activity Recognition using Multisensor Data Fusion based on Reservoir Computing".
Journal of Ambient Intelligence and Smart Environments, IOS Press, vol. 8, pp. 87-107, DOI:10.3233/AIS-160372, ISSN: 1876-1364, 2016. [LINK to data-set]

E. Crisostomi, C. Gallicchio, A. Micheli, M. Raugi, M. Tucci. "Prediction of the Italian Electricity Price for Smart Grid Applications".
Neurocomputing - Elsevier. Vol. 170, December 2015, Pages: 286-295. ISSN: 0925-2312 (Published on-line: June 2015). DOI: 10.1016/j.neucom.2015.02.089

G. Amato, D. Bacciu, M. Broxvall, S. Chessa, S. Coleman, M. Di Rocco, M. Dragone, C. Gallicchio, C. Gennaro, H. Lozano, T.M. McGinnity, A. Micheli, A.K. Ray, A. Renteria, A. Saffiotti, D. Swords, C. Vairo, P. Vance. "Robotic Ubiquitous Cognitive Ecology for Smart Homes" .
Journal of Intelligent & Robotic Systems - Springer. Volume 80(1), pp 57-81, Dec 2015, ISSN 0921-0296, DOI 10.1007/s10846-015-0178-2

M. Dragone, G. Amato, D. Bacciu, S. Chessa, S. Coleman, M. Di Rocco, C. Gallicchio, C. Gennaro, H. Lozano, L. Maguire, M. McGinnity, A. Micheli, G. M.P. O.Hare, A. Renteria, A. Saffiotti, C. Vairo, P. Vance. "A cognitive robotic ecology approach to self-configuring and evolving AAL systems".
Engineering Applications of Artificial Intelligence - Elsevier. Vol. 45, October 2015, Pages: 269-280. ISSN: 0952-1976. DOI: 10.1016/j.engappai.2015.07.004

D. Bacciu, P. Barsocchi, S. Chessa, C. Gallicchio, A. Micheli. "An experimental characterization of reservoir computing in ambient assisted living applications" .
Neural Computing and Applications, vol. 24 (6), pp. 1451-1464, 2014. Springer-Verlag. [LINK to data-set].

D. Bacciu, A. Micheli, A. Sperduti. "Compositional Generative Mapping for Tree-Structured Data - Part II: Topographic Projection Model".
IEEE Transactions on Neural Networks and Learning Systems. Vol. 24 N. 2, February 2013, Pages: 231 - 247. ISSN: 2162-237X. DOI: 10.1109/TNNLS.2012.2228226 [LINK to data-set].

D. Bacciu, A. Micheli, A. Sperduti. "Compositional Generative Mapping for Tree-Structured Data - Part I: Bottom-Up Probabilistic Modeling of Trees".
IEEE Transactions on Neural Networks and Learning Systems. Vol. 23 N. 12, December 2012, Pages: 1987 - 2002. ISSN: 2162-237X. DOI: 10.1109/TNNLS.2012.2222044. [LINK to data-set].

C. Gallicchio, A. Micheli. "Tree Echo State Networks".
Neurocomputing - Elsevier. [On line September 2012] Vol. 101 (2013), Pages 319-337. ISSN: 0925-2312. DOI: 10.1016/j.neucom.2012.08.017

Gallicchio C., Micheli A., "Architectural and Markovian factors of echo state networks".
Neural Networks, Vol. 24(5): 440 – 456, June 2011. Elsevier Ltd. ISSN: 0893-6080.

A. Micheli. "Neural Network for Graphs: A Contextual Constructive Approach".
IEEE Transactions on Neural Networks. Vol. 20, n. 3, Pages 498 - 511, March 2009.

Bertinetto C.G., Duce C., Micheli A., Solaro R., Tine' M.R., "QSPR Analysis of Copolymers by Recursive Neural Networks: Prediction of the Glass Transition Temperature of (Meth)acrylic Random Copolymers", Molecular Informatics, Vol.29, Issue 8-9, pages 635-643, September 2010. ISSN: 1868-1743.

Masulli F., Micheli A., Sperduti A. BOOK: "COMPUTATIONAL INTELLIGENCE AND BIOENGINEERING", Essays in Memory of Antonina Starita, Series: Frontiers in Artificial Intelligence and Applications - Knowledge-Based Intelligent Engineering Systems. . Vol. 196, IOS Press , Netherlands (c) 2009. ISBN 978-1-60750-010-0.

Bertinetto C., Duce C., Micheli A., Solaro R., Starita A., Tine' M.R., "Evaluation of Hierarchical Structured Representations for QSPR Studies of Small Molecules and Polymers by Recursive Neural Networks". Journal of Molecular Graphics and Modelling. Vol. 27, n. 7, Pages 797-802, April 2009, Elsevier.

Bacciu D., Starita A., "Competitive Repetition Suppression (CoRe) Clustering: a Biologically Inspired Learning Model with Application to Robust Clustering", IEEE Transactions on Neural Networks, vol. 19, no. 11, pp. 1922 - 1941, Nov. 2008.

Bernazzani L., Duce C., Micheli A., Mollica V., Sperduti A., Starita A., Tiné M.R.. “Predicting Physical Chemical Properties of Compounds from Molecular Structures by Recursive Neural Networks”, Journal of Chemical Information and Modeling (formerly Journal of Chemical Information and Computer Sciences), ACS Publications, Washington, DC. (ISI Impact Factor 3.423). Vol. 46(5): 2030 – 2042, September 2006. ACS Publications. ISSN: 1549-9596.

Hammer B., Micheli A., Sperduti A., "Universal Approximation Capability of Cascade Correlation for Structures". Neural Computation. Vol. 17, No. 5, Pages 1109-1159, (C) 2005 MIT press.

Hammer B., Micheli A., Sperduti A., Strickert M., “Recursive Self-organizing Network Models”, Neural Networks, Vol. 17 (8-9): 1061-1085, October-November 2004, Elsevier Ltd. ISSN 0893-6080.

Bianucci A. M., Micheli A.,Sperduti A.,.Starita A.:"A Novel Approach to QSPR/QSAR Based on Neural Networks for Structures", in"Soft Computing Approaches in Chemistry", L. M. Sztandera, H. Cartwright, Eds.,p.265-296, Physica Verlag, Heidelberg, 2002.

Micheli A., Sperduti A., Starita A, Bianucci A.M.:"Analysis of the Internal Representations Developed by Neural Networks for Structures Applied to QSAR Studies of Benzodiazepines", Journal of Chemical Information and Computer Sciences , 41(1), 202-218, , January 2001, Web Release Date: November 10, 2000.

Cerbioni K., Colosimo C., Starita A., Dario P.: "A Neuro-Fuzzy System for Emulation of Human Grasp Movements", in "Fuzzy Systems in Medicine", Eds. P.S. Szczepaniak, P.J.G. Lisboa & J.Kacprzyk, Physica-Verlag: Studies in Fuzziness and Soft Computing, pp.573-593, 2000.

Bianucci A. M., Micheli A., Sperduti A., Starita A.: "Application of Recursive Cascade-Correlation Networks to Chemical Structures", Applied Intelligence Journal, Special Issue on "Neural Networks and Structured Knowledge", Vol.12 (1/2): 115-145, January 2000.

Sona D., Sperduti A., Starita A.: "Discriminant Pattern Recognition Using Transformation Invariant Neurons", Neural Computation, n.6, Vol.12, June 2000.

Starita A., Sperduti A.: "A Neural Based System for the Automatic Classification and Follow-Up of Diabetic Retinopathies", in Artificial Neural Networks in Biomedicine, Eds. P.J.G. Lisboa, E. Ifeachor & P.S. Szczepaniak, Springer: Perspectives in Neural Computing, pp.233-247, 1999.

Sperduti A., Starita A.: "Supervised Neural Networks for Classification of Structures", IEEE Trans on Neural Networks. Vol. 8, No. 3, pp. 714-735, 1997.

Sperduti A., Starita A., Goller C.: "Distributed Representations for Terms in Hybrid Reasoning Systems", in "Connectionist-Symbolic Integration: From Unified to Hybrid Approaches", Eds. R. Sun and Frederic Alexandre, Lawrence Erlbaum Associates, pp. 329-344, 1997.

Yuo can find more here:

- A. Micheli - Personal Web Page
- D. Bacciu - Personal Web Page
- C. Gallicchio - Personal Web Page
- Department of Computer Science - Publications

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